high resolution tiff of op plots

[ChrisKonig]

How can we generate a high resolution tiff of op plots? When op plots are generated and opened in the browser the resolution is fine. However, we cannot download a high resolution tiff or jpg (maybe due to IT restrictions?). Previously, one could generate and export the op plot pdfs and tiff within R. Can someone provide us with an idea. Maybe we just don't see it. Thanks a lot in advance.

[mhovd]

Here is a small example to show you how you can generate a plot manually using the data contained in the op-object of the PMresult. This example uses ggplot2 to create the figure, and saves it using ggsave.

library(Pmetrics)
library(tidyverse)
library(ggpubr)

# Replace this with your OP-object from your result
op <- NPex$op$data

# Create the plot using `ggplot2`
op_plot = op %>% 
  filter(pred.type == "post") %>% # Filter for posterior predictions
  filter(icen == "mean") %>% # Filter to use the mean of the posterior parameters, as opposed to the median
  ggplot(aes(x = pred, y = obs)) +
  geom_abline(slope = 1, intercept = 0, lty = "dashed", alpha = 0.5) + # Add a reference line
  geom_point(pch = 21, col = "black", fill = "red") + # Red points with black outline
  ggpubr::theme_pubr() + # Set the correct size for fonts
  labs(x = "Predicted concentration", y = "Observed concentration") + # Add labels to X- and Y-axis
  theme(aspect.ratio = 1) # OP-plots should always be shown with an aspect ratio of 1 !

# Look at the plot
op_plot

# Save the plot as high-quality TIFF
ggsave(plot = op_plot, filename = "OP.tiff", height = 5, width = 5, dpi = 600)

^{Created on 2024-07-17 with reprex v2.1.0}

[ChrisKonig]

Thank you for your quick response. It helped a lot and I used additional functions in ggplot to modify the plot. Sent from my iPhoneViele Grüße,Dr. Christina KönigClinical Pharmacist,Infections Diseases, Medication Management D-Tel.:    +49 178 804 7557US-Cell: +1 (857) 340-0093On Jul 17, 2024, at 6:11 AM, Markus Hovd ***@***.***> wrote: Here is a small example to show you how you can generate a plot manually using the data contained in the op-object of the PMresult. This example uses ggplot2 to create the figure, and saves it using ggsave. library(Pmetrics) library(tidyverse) library(ggpubr) # Replace this with your OP-object from your result op <- NPex$op$data # Create the plot using `ggplot2` op_plot = op %>% filter(pred.type == "post") %>% # Filter for posterior predictions filter(icen == "mean") %>% # Filter to use the mean of the posterior parameters, as opposed to the median ggplot(aes(x = pred, y = obs)) + geom_abline(slope = 1, intercept = 0, lty = "dashed", alpha = 0.5) + # Add a reference line geom_point(pch = 21, col = "black", fill = "red") + # Red points with black outline ggpubr::theme_pubr() + # Set the correct size for fonts labs(x = "Predicted concentration", y = "Observed concentration") + # Add labels to X- and Y-axis theme(aspect.ratio = 1) # OP-plots should always be shown with an aspect ratio of 1 ! # Look at the plot op_plot # Save the plot as high-quality TIFF ggsave(plot = op_plot, filename = "OP.tiff", height = 5, width = 5, dpi = 600) Created on 2024-07-17 with reprex v2.1.0 —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>

[ChrisKonig]

Thank you for your quick response. It helped a lot and I used additional functions in ggplot to modify the plot. Sent from my iPhoneViele Grüße,Dr. Christina KönigClinical Pharmacist,Infections Diseases, Medication Management D-Tel.:    +49 178 804 7557US-Cell: +1 (857) 340-0093On Jul 17, 2024, at 6:11 AM, Markus Hovd ***@***.***> wrote: Here is a small example to show you how you can generate a plot manually using the data contained in the op-object of the PMresult. This example uses ggplot2 to create the figure, and saves it using ggsave. library(Pmetrics) library(tidyverse) library(ggpubr) # Replace this with your OP-object from your result op <- NPex$op$data # Create the plot using `ggplot2` op_plot = op %>% filter(pred.type == "post") %>% # Filter for posterior predictions filter(icen == "mean") %>% # Filter to use the mean of the posterior parameters, as opposed to the median ggplot(aes(x = pred, y = obs)) + geom_abline(slope = 1, intercept = 0, lty = "dashed", alpha = 0.5) + # Add a reference line geom_point(pch = 21, col = "black", fill = "red") + # Red points with black outline ggpubr::theme_pubr() + # Set the correct size for fonts labs(x = "Predicted concentration", y = "Observed concentration") + # Add labels to X- and Y-axis theme(aspect.ratio = 1) # OP-plots should always be shown with an aspect ratio of 1 ! # Look at the plot op_plot # Save the plot as high-quality TIFF ggsave(plot = op_plot, filename = "OP.tiff", height = 5, width = 5, dpi = 600) Created on 2024-07-17 with reprex v2.1.0 —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>